{"id":"https://openalex.org/W4322737531","doi":"https://doi.org/10.1007/s00530-023-01058-1","title":"From macro to micro: rethinking multi-scale pedestrian detection","display_name":"From macro to micro: rethinking multi-scale pedestrian detection","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4322737531","doi":"https://doi.org/10.1007/s00530-023-01058-1"},"language":"en","primary_location":{"id":"doi:10.1007/s00530-023-01058-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-023-01058-1","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086319800","display_name":"Yuzhe He","orcid":"https://orcid.org/0000-0003-4291-5674"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhe He","raw_affiliation_strings":["Beijing Union University, Beijing, 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102707440","display_name":"Ning He","orcid":"https://orcid.org/0000-0003-1805-9249"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning He","raw_affiliation_strings":["Beijing Union University, Beijing, 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029862323","display_name":"Haigang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigang Yu","raw_affiliation_strings":["Beijing Union University, Beijing, 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384131","display_name":"Ren Zhang","orcid":"https://orcid.org/0000-0002-9315-330X"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Zhang","raw_affiliation_strings":["Beijing Union University, Beijing, 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102007923","display_name":"Yan Kang","orcid":"https://orcid.org/0000-0003-2476-4921"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Yan","raw_affiliation_strings":["Beijing Union University, Beijing, 100101, China"],"affiliations":[{"raw_affiliation_string":"Beijing Union University, Beijing, 100101, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086319800"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":null,"apc_paid":null,"fwci":0.7329,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71440516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"3","first_page":"1417","last_page":"1429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.9048820734024048},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8426004648208618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7444653511047363},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6455584168434143},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6296347379684448},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.615205705165863},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.6111037135124207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5932873487472534},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5463581085205078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5030550360679626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4904015064239502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37143898010253906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20421883463859558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12247994542121887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0997563898563385},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08897662162780762}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.9048820734024048},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8426004648208618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444653511047363},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6455584168434143},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6296347379684448},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.615205705165863},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.6111037135124207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932873487472534},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5463581085205078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5030550360679626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4904015064239502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37143898010253906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20421883463859558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12247994542121887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0997563898563385},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08897662162780762},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00530-023-01058-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00530-023-01058-1","pdf_url":null,"source":{"id":"https://openalex.org/S112262039","display_name":"Multimedia Systems","issn_l":"0942-4962","issn":["0942-4962","1432-1882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031454541","https://openalex.org/W2039051707","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2497039038","https://openalex.org/W2531915888","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2594507094","https://openalex.org/W2594605677","https://openalex.org/W2601564443","https://openalex.org/W2792824754","https://openalex.org/W2894651257","https://openalex.org/W2895451584","https://openalex.org/W2922979017","https://openalex.org/W2962721361","https://openalex.org/W2962850830","https://openalex.org/W2963150697","https://openalex.org/W2963179609","https://openalex.org/W2963318220","https://openalex.org/W2963351448","https://openalex.org/W2963402592","https://openalex.org/W2963404857","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2981816761","https://openalex.org/W2998228095","https://openalex.org/W3010357916","https://openalex.org/W3034307881","https://openalex.org/W3034974675","https://openalex.org/W3035694605","https://openalex.org/W3082624523","https://openalex.org/W3089498781","https://openalex.org/W3092153824","https://openalex.org/W3094795719","https://openalex.org/W3106250896","https://openalex.org/W3107867277","https://openalex.org/W3117707016","https://openalex.org/W3160120488","https://openalex.org/W3160257089","https://openalex.org/W3161950902","https://openalex.org/W3162952120","https://openalex.org/W3163636357","https://openalex.org/W3172752666","https://openalex.org/W3175496347","https://openalex.org/W3175630421","https://openalex.org/W3176895448","https://openalex.org/W3179888767","https://openalex.org/W3196107618","https://openalex.org/W4220678948","https://openalex.org/W4280500701","https://openalex.org/W6600007113","https://openalex.org/W6600060591","https://openalex.org/W6600339457","https://openalex.org/W6602254124"],"related_works":["https://openalex.org/W2030816003","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W4239992647","https://openalex.org/W2076325756","https://openalex.org/W81423522","https://openalex.org/W2150013480","https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2348780717"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
